{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "46492ca4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# this imports all packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "399a6bb7",
   "metadata": {},
   "source": [
    "## Import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e3d3ce1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# reads in the CSV with pandas\n",
    "df = pd.read_csv('results_2021.csv', header=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e60549ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1141, 246)\n"
     ]
    }
   ],
   "source": [
    "# limit to rows with valid serial numbers\n",
    "df = df[df['Serial #'] > 0]\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "30b85737",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(932, 246)\n"
     ]
    }
   ],
   "source": [
    "# limit to rows with multiple employees\n",
    "df = df[df['Sample Qualification'] == '2+ employees']\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f5a9fed2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get list of column headers\n",
    "keys = np.array(list(df.keys()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ab4d698",
   "metadata": {},
   "source": [
    "## Map from question numbers to columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b8dc13ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# following https://github.com/todogroup/osposurvey/blob/master/2021/questions.md\n",
    "parts_to_qs = {\n",
    "    '1': [1,2,3,4,5,6],\n",
    "    '2a': [7,8],\n",
    "    '2b': [9],\n",
    "    '2c': [10,11,12,13,14,15,16,17,18,19,20],\n",
    "    '2d': [21],\n",
    "    '3': [22,23,24,25,26],\n",
    "    '4a': [27,28],\n",
    "    '4b': [29,30],\n",
    "    '4c': [31],\n",
    "    '5a': [32,33,34,35,36,37],\n",
    "    '5b': [38],\n",
    "    '5c': [39],\n",
    "    '6': [40,41,42],\n",
    "    '7': [43,44,45,46,47],\n",
    "    '8': [48,49,50]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f3d45851",
   "metadata": {},
   "outputs": [],
   "source": [
    "qs_to_cols = {\n",
    "    1: [8,9,10,11,12,13,14],\n",
    "    2: [15],\n",
    "    3: [16,17,18,19,20,21,22],\n",
    "    4: [23],\n",
    "    5: [24,25,26,27,28],\n",
    "    6: [29],\n",
    "    7: [30,31,32,33,34,35,36,37,38,39,40],\n",
    "    8: [41],\n",
    "    9: [42],\n",
    "    10: [43,44],\n",
    "    11: [45,46,47,48,49,50],\n",
    "    12: [51,52],\n",
    "    13: [53],\n",
    "    14: [54],\n",
    "    15: [55,56,57,58,59,60,61,62,63,64,65,66,67,68,69],\n",
    "    16: [70,71,72,73,74,75,76,77,78,79,80,81,82,83,84],\n",
    "    17: [85,86,87,88,89,90,91,92,93,94,95],\n",
    "    18: [96],\n",
    "    19: [97],\n",
    "    20: [98],\n",
    "    21: [99,100],\n",
    "    22: [101],\n",
    "    23: [102],\n",
    "    24: [103,104],\n",
    "    25: [105,106,107,108,109,110,111,112,113,114,115,116,117,118,119],\n",
    "    26: [120,121,122,123,124,125,126,127,128,129,130,132], #131 has no data\n",
    "    27: [133,134,135,136,137,138,139,140,141,142,143],\n",
    "    28: [144],\n",
    "    29: [145],\n",
    "    30: [146,147,148,149,150,151,152,153,154,155,156,157,158,159,160],\n",
    "    31: [161,162,163,164,165,166,167,168,169,170],\n",
    "    32: [171,172,173,174,175,176,177,178,179,180,181],\n",
    "    33: [182,183,184],\n",
    "    34: [185,186,187],\n",
    "    35: [188],\n",
    "    36: [189,190,191],\n",
    "    37: [192],\n",
    "    38: [193],\n",
    "    39: [194],\n",
    "    40: [195],\n",
    "    41: [196],\n",
    "    42: [197],\n",
    "    43: [198],\n",
    "    44: [199, 200],\n",
    "    45: [201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221],\n",
    "    46: [222],\n",
    "    47: [223,224,225,226,227,228],\n",
    "    48: [229,230,231,232,233,234,235,236,237,238,239,240,241,242,243],\n",
    "    49: [244],\n",
    "    50: [245]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9f7366b",
   "metadata": {},
   "source": [
    "## Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52198ef5",
   "metadata": {},
   "source": [
    "### Helper functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f772fcaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def remove_nans(c):\n",
    "    \"\"\"\n",
    "    Remove 'nan' from the collections.Counter object (that means it wasn't filled out)\n",
    "    \"\"\"\n",
    "    nans = [k for k in list(c.keys()) if str(k) == 'nan']\n",
    "    for n in nans:\n",
    "        del c[n]\n",
    "    return c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b49307f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def access_mc_question(q):\n",
    "    \"\"\"\n",
    "    Take question number, and count up response with collections.Counter\n",
    "    \"\"\"\n",
    "    key = keys[qs_to_cols[q]]\n",
    "    print(key)\n",
    "    assert len(key) == 1\n",
    "    c = Counter(df[key[0]])\n",
    "    return remove_nans(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1395bd54",
   "metadata": {},
   "outputs": [],
   "source": [
    "def access_multiple_row_question(q):\n",
    "    \"\"\"\n",
    "    Take question number with multiple columns, and count up number of people who clicked each column\n",
    "    \"\"\"\n",
    "    key = keys[qs_to_cols[q]]\n",
    "    print(key)\n",
    "    c = Counter()\n",
    "    for k in key:\n",
    "        c += remove_nans(Counter(df[k]))\n",
    "    return remove_nans(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c111d78f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot(c, title, order=None, N=None):\n",
    "    # set order of options in the plot\n",
    "    preferred_order = order if order else range(len(c.keys()))\n",
    "    # when plotting percentiles, divide by N\n",
    "    N = N if N != None else sum(c.values())\n",
    "    \n",
    "    options = np.array(list(c.keys()))[preferred_order]\n",
    "    percentiles = 100* np.array(list(c.values()))[preferred_order] / N\n",
    "\n",
    "    plt.barh(options, percentiles)\n",
    "    plt.title(title)\n",
    "    plt.xlabel(f'percent of respondents (N={N})')\n",
    "    plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6086e437",
   "metadata": {},
   "source": [
    "### Examples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75a90240",
   "metadata": {},
   "source": [
    "As compared with https://raw.githubusercontent.com/todogroup/osposurvey/master/2021/results_2021.pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2306864",
   "metadata": {},
   "source": [
    "2. Number of people at your org"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fd2c7a30",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['# of People at Organization - Recoded_or_edited']\n",
      "dict_keys(['More than 10,000', '2-5', '51-250', '1,001-10,000', '251-1,000'])\n"
     ]
    }
   ],
   "source": [
    "c = access_mc_question(2)\n",
    "print(c.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ea0ff447",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "preferred_order = [1,2,4,3,0]\n",
    "plot(c, 'How many people work for your company or organization?', preferred_order)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "905b47bf",
   "metadata": {},
   "source": [
    "49. Category that most defines your role"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "668f22b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Multiple choice response.24']\n",
      "dict_keys(['C-level (non-technology) management', 'IT management, including CIO, CISO, CTO', 'Developer or software engineer', 'Marketing / PR', 'Community manager or developer advocate', 'Other', 'Other IT'])\n"
     ]
    }
   ],
   "source": [
    "c = access_mc_question(49)\n",
    "print(c.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e1c0747c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(c, 'Which category most closely defines your role?')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caa02257",
   "metadata": {},
   "source": [
    "50. What industry?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "988dcffa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Multiple choice response.25']\n",
      "dict_keys(['Telecom, communications or media', 'Technology (software or IT)', 'Financial services', 'Education: Other', 'Transportation and automotive', 'Retail', 'Education: University', 'Healthcare', 'Other', 'Manufacturing and raw materials', 'Defense', 'Public Sector: National government', 'Utilities', 'Public Sector: Local government', 'Public Sector: International government', 'Education: For-profit services', 'Insurance', 'Public Sector: Non-governmental organization'])\n"
     ]
    }
   ],
   "source": [
    "c = access_mc_question(50)\n",
    "print(c.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2b5d4286",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(c, 'What industry is your company in?')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "873e2af8",
   "metadata": {},
   "source": [
    "1. Where is your company or organization on its open source journey?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "45688b1b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Consuming open source code in products or services'\n",
      " 'Contributing to upstream open source projects'\n",
      " 'Influencing open source projects via leadership or maintainer roles'\n",
      " 'Initiating or releasing open source projects'\n",
      " 'Collaborating with peers across open source projects and/or foundations'\n",
      " 'Not involved in open source' \"Don't know\"]\n"
     ]
    }
   ],
   "source": [
    "c = access_multiple_row_question(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "745ffc00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(c, 'Where is your company or organization on its open source journey?', N=len(df))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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